Explore the vast range of titles available.

The rise of the Indian information technology industry is a remarkable economic success story. Software and services exports from India amounted to less than $100 million in 1990, and today come close to $100 billion . But, as Dinesh Sharma explains in The Outsourcer , Indian IT's success has a long prehistory; it did not begin with software support, or with American firms' eager recruitment of cheap and plentiful programming labor, or with India's economic liberalization of the 1990s. The foundations of India's IT revolution were laid long ago, even before the country's independence from British rule in 1947, as leading Indian scientists established research institutes that became centers for the development of computer science and technology. The \"miracle\" of Indian IT is actually a story about the long work of converting skills and knowledge into capital and wealth. With The Outsourcer , Sharma offers the first comprehensive history of the forces that drove India's IT success. Sharma describes India's early development of computer technology, part of the country's efforts to achieve national self-sufficiency, and shows that excessive state control stifled IT industry growth before economic policy changed in 1991. He traces the rise and fall (and return) of IBM in India and the emergence of pioneering indigenous hardware and software firms. He describes the satellite communication links and state-sponsored, tax-free technology parks that made software-related outsourcing by foreign firms viable, and the tsunami of outsourcing operations at the beginning of the new millennium. It is the convergence of many factors, from the tradition of technical education to the rise of entrepreneurship to advances in communication technology, that have made the spectacular growth of India's IT industry possible.

From its first glimmerings in the 1950s, the software industry has evolved to become the fourth largest industrial sector of the US economy. Starting with a handful of software contractors who produced specialized programs for the few existing machines, the industry grew to include producers of corporate software packages and then makers of mass-market products and recreational software. This book tells the story of each of these types of firm, focusing on the products they developed, the business models they followed, and the markets they served. By describing the breadth of this industry, Martin Campbell-Kelly corrects the popular misconception that one firm is at the center of the software universe. He also tells the story of lucrative software products such as IBM's CICS and SAP's R/3, which, though little known to the general public, lie at the heart of today's information infrastructure. With its wealth of industry data and its thoughtful judgments, this book will become a starting point for all future investigations of this fundamental component of computer history.

The immersive virtual world platform Second Life (SL) was conceived 25 years ago, when Philip Rosedale founded Linden Lab in 1999 with the intention of developing computing hardware that would allow people to immerse themselves in a virtual world. This initial effort was transformed 4 years later into SL, a universally accessible virtual world centered on the user, with commercial transactions and even its own virtual currency, which fully connects with the concept of the metaverse, recently repopularized after the statements of the chief executive officer of Meta (formerly Facebook) in October 2021. SL is considered the best known virtual environment among higher education professionals. This paper aimed to review medical education in the SL metaverse; its evolution; and its possibilities, limitations, and future perspectives, focusing especially on medical education experiences during undergraduate, residency, and continuing medical education. The concept of the metaverse and virtual worlds was described, making special reference to SL and its conceptual philosophy, historical evolution, and technical aspects and capabilities for higher education. A narrative review of the existing literature was performed, including at the same time a point of view from our teaching team after an uninterrupted practical experience of undergraduate and postgraduate medical education in the last 13 years with >4000 users and >10 publications on the subject. From an educational point of view, SL has the advantages of being available 24/7 and creating in the student the important feeling of “being there” and of copresence. This, together with the reproduction of the 3D world, real-time interaction, and the quality of voice communication, makes the immersive experiences unique, generating engagement and a fluid interrelation of students with each other and with their teachers. Various groups of researchers in medical education have developed experiences during these years, which have shown that courses, seminars, workshops and conferences, problem-based learning experiences, evaluations, teamwork, gamification, medical simulation, and virtual objective structured clinical examinations can be successfully carried out. Acceptance from students and faculty is generally positive, recognizing its usefulness for undergraduate medical education and continuing medical education. In the 25 years since its conception, SL has proven to be a virtual platform that connects with the concept of the metaverse, an interconnected, open, and globally accessible system that all humans can access to socialize or share products for free or using a virtual currency. SL remains active and technologically improved since its creation. It is necessary to continue carrying out educational experiences, outlining the organization, objectives, and content and measuring the actual educational impact to make SL a tool of more universal use.

Netflix is the definitive media company of the 21st century. It was among the first to parlay new Internet technologies into a successful business model, and in the process it changed how consumers access film and television. It is now one of the leading providers of digitally delivered media content and is continually expanding access across a host of platforms and mobile devices. Despite its transformative role, however, Netflix has drawn very little critical attention—far less than competitors such as YouTube, Apple, Amazon, Comcast, and HBO. This collection addresses this gap, as the essays are designed to critically explore the breadth and diversity of Netflix’s effect from a variety of different scholarly perspectives, a necessary approach considering the hybrid nature of Netflix; its inextricable links to new models of media production and distribution, to new modes of viewer engagement and consumer behavior, its relationship to existing media conglomerates and consumer electronics, to its capabilities as a web-based service provider and data network, and to its reliance on a broader technological infrastructure. Marking the first scholarly work to address its significance, The Netflix Effect provides a critical framework for understanding the company’s specific strategies as well as its broader social, economic, and cultural impact.

Meanwhile, stocks closed mixed yesterday led by gains in tech and industrial companies. The Dow did decline twenty-six points. The NASDAQ closed up eighteen, hitting a new record. The S&P 500 gained three points.

A fundamental obstacle to healthcare transformation continues to be the acquisition of knowledge and insightful data from complex, high dimensional, and heterogeneous biological data. As technology has improved, a wide variety of data sources, including omics data, imaging data, and health records, have been available for use in healthcare research contexts. Electronic health records (EHRs), which are digitalized versions of medical records, have given researchers a significant chance to create computational methods for analyzing healthcare data. EHR systems typically keep track of all the data relating to a patient’s medical history, including clinical notes, demographic background, and diagnosis details. EHR data can offer valuable insights and support doctors in making better decisions related to disease and diagnostic forecasts. As a result, several academics use deep learning to forecast diseases and track health trajectories in EHR. Recent advances in deep learning technology have produced innovative and practical paradigms for building end-to-end learning models. However, scholars have limited access to online HER databases, and there is an inherent need to address this issue. This research examines deep learning models, their architectures, and readily accessible EHR online databases. The goal of this paper is to examine how various architectures, models, and databases differ in terms of features and usability. It is anticipated that the outcomes of this review will lead to the development of more robust deep learning models that facilitate medical decision-making processes based on EHR data and inform efforts to support the selection of architectures, models, and databases for specific research purposes.

We are active with our mobile devices; we play games, watch films, listen to music, check social media, and tap screens and keyboards while we are on the move. In Mood and Mobility , Richard Coyne argues that not only do we communicate, process information, and entertain ourselves through devices and social media; we also receive, modify, intensify, and transmit moods. Designers, practitioners, educators, researchers, and users should pay more attention to the moods created around our smartphones, tablets, and laptops. Drawing on research from a range of disciplines, including experimental psychology, phenomenology, cultural theory, and architecture, Coyne shows that users of social media are not simply passive receivers of moods; they are complicit in making moods. Devoting each chapter to a particular mood -- from curiosity and pleasure to anxiety and melancholy -- Coyne shows that devices and technologies do affect people's moods, although not always directly. He shows that mood effects are transitional; different moods suit different occasions, and derive character from emotional shifts. Furthermore, moods are active; we enlist all the resources of human sociability to create moods. And finally, the discourse about mood is deeply reflexive; in a kind of meta-moodiness, we talk about our moods and have feelings about them. Mood, in Coyne's distinctive telling, provides a new way to look at the ever-changing world of ubiquitous digital technologies.

During the last decades, tourism has been augmented worldwide through which the diversity of tourists’ interests is increased and is challenging to tackle with the traditional management system. Such challenges can be overcome by LBSNs (Location-Based Social Networks) such as Yelp, Foursquare, and Facebook which help to collect more personalized information close to tourists’ preferences/interests like check-ins, comments, and reviews. In this regard, solutions have been proposed to exploit the POI (Point of Interest) recommendation, but they failed to overcome sparsity and cold-start problems. Existing methods are also not focusing on important aspects, including geographical context, dynamics preferences and social influence, which are essential factors in POI recommendation. Therefore, this work tried to incorporate these factors and present a unified model using bipartite networks to learn users and POI dynamics. For this purpose, we have represented all the factors using eleven networks and combined them into a single latent space. In addition, Edge Computing processes data at the network's edge, reducing latency and bandwidth usage and enabling real-time and personalized recommendations. Furthermore, cloud computing could be used to store and process the large amounts of data collected from LBSNs, to support the proposed model's computational requirements and make it more accessible and scalable, allowing it to be easily used by tourism management systems worldwide. Experimental results show that our model outperforms state-of-the-art methods using real-world dataset in terms of accuracy and perform better against sparsity and cold-start problems.

On the Way to the Web: The Secret History of the Internet and Its Founders is an absorbing chronicle of the inventive, individualistic, and often cantankerous individuals who set the Internet free.Michael A.Banks describes how the online population created a new culture and turned a new frontier into their vision of the future.